Own the technical direction for data science and AI solutions
Ensure solutions are scalable, maintainable, and aligned with enterprise architecture
Review, challenge, and approve technical designs, experiments, and model outputs
Lead pod-level planning and execution to meet sprint and increment commitments
Provide day-to-day technical leadership, coaching, and mentoring for pod members
Partner closely with AI Product Owners to translate business problems into clear analytical objectives
Ensure models and analytics meet quality, performance, security, reliability, and compliance standards
Stay current with advances in data science, ML, and GenAI techniques

Bachelor’s degree in engineering, computer science, data science, business, or a related field (or equivalent practical experience)
Advanced degree (Master’s or PhD preferred) in artificial intelligence, machine learning, engineering, mathematics, physics, or a closely related field considered an advantage.
Working knowledge of AI/ML and Generative AI concepts sufficient to make informed product trade-off decisions
Ability to interpret analytics, experiments, and model performance metrics
Experience working in Agile teams with hands-on ownership of product backlogs
Excellent verbal and written communication skills
Strong problem-solving skills
Knowledge of Mining Industry and Mining related software.
Knowledge of software development life cycle; ability to use a structured methodology for delivering and managing new or enhanced software products to the marketplace.
Knowledge of AI and Generative AI concepts; ability to govern and guide AI product development.
Knowledge of relevant programming languages and tools; ability to test, write, design, debug, troubleshoot, and maintain source codes.

Data Science Lead

Key skills